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Single-band infrared texture-based image colorization

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3 Author(s)
Hamam, T. ; Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel ; Dordek, Y. ; Cohen, D.

Infrared (IR) imaging has a wide variety of applications such as night vision detection and tracking, meteorology radiometers and spectroscopy techniques. An infrared image is a monochrome image, usually presented in grayscale. It has been proved that colorization of IR images can reduce human error and speed up reaction time. Most previously suggested coloring methods use a reference color image, whose characteristic features differ drastically from IR ones. These differences make those features less pertinent to the coloring process. In this paper, we present a novel texture-based method for automatically coloring IR images. The method uses a reference (source) color image, which is selected from a database, built in advance containing various natural scenes. The source image is selected using a texture-matching algorithm that searches for a resemblance to the IR (target) image. The source and target images are divided into texture-based segments and a color segment best match is found for every IR segment. The coloring process is performed for each pair of IR-color segments, and exploits global as well as local features. Results show that our method produces more natural-looking images than achieved heretofore.

Published in:

Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of

Date of Conference:

14-17 Nov. 2012

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